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Orchestrating Self-Healing Multi-Agent Pipelines for Live NEPSE Financial Analytics with Open-Source LLMs

Ever watched a midnight cron job fail because a third-party financial API decided to rename a JSON key from totalTurnover to turnover_rs ? If you …

Beyond Flask: Why We Rewrote Our Core Ingestion Service in FastAPI and How It Survived Production

When our core third-party telemetry pipeline started dropping requests during peak traffic hours, scaling our legacy Gunicorn-backed Flask workers …

Beyond Static Prompts: Building an LLM-Driven Neuro-Symbolic Forecaster for NEPSE Liquidity

If you have ever deployed a traditional time-series model like ARIMA or an LSTM to predict the Nepal Stock Exchange (NEPSE), you already know the s…

From RSS to Code: Automating Python Feature Generation with Self‑Healing LLM Agents

Every week I scroll through Cloudflare’s blog and find a nugget of insight that could be turned into a reusable Python helper. Manually translating…

Building a Self-Healing Python Code Assistant with Abstract Syntax Trees and LLM Feedback Loops

Have you ever watched an LLM-generated data pipeline script crash in production because a third-party API silently shifted its JSON keys overnight?…

How I Built a Resilient Real‑Time NEPSE Ticker with `websockets` and `asyncio`

When I tried to stream NEPSE price updates with the simple websocket-client library, a single network hiccup dropped the connection and my data pi…

Taming the Podium Paradox: Advanced Imbalance Strategies for F1 Race Predictions

Implementing advanced imbalance handling techniques like cost-sensitive learning and ensemble-based resampling significantly improves the detection…

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